Lukas Lichtensteiger

Dr. Lukas Lichtensteiger is a Researcher at the Zurich University of Applied Sciences (ZHAW), affiliated with the School of Engineering's Medical Complex Systems group. His work bridges engineering, AI, and medical technology, focusing on innovative solutions for healthcare and sustainability challenges.

Research Focus

Lichtensteiger's research spans medical imaging AI, blockchain applications, and complex systems engineering. Key areas include:

• AI-powered medical imaging for cancer therapy and artifact mitigation
• Blockchain-based solutions for decentralized finance and voting systems
• Complexity management in industrial and medical operations

Publications Overview

Recent works (2019-2023) demonstrate a strong focus on deep learning applications in medical physics (CT image enhancement, deformable registration) and blockchain technology (Fairtrade finance, e-voting). Earlier research addressed space science and morphological control systems.

Projects

• Led SpaceVote (blockchain voting) and sensor tech for robotics projects
• Co-directed AI applications in cancer therapy and medical data training
• Contributed to blockchain solutions for agroforestry and supply chain finance